Embedding Semantics in LDA Topic Models-Reference-Cited by-同舟云学术

Embedding Semantics in LDA Topic Models

Published:2010-03-04 Issue: Volume: Page:183-204
ISSN:
Container-title:Text Mining
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Author:

Alsumait Loulwah,Wang Pu,Domeniconi Carlotta,Barbará Daniel

Publisher

John Wiley & Sons, Ltd

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/9780470689646.ch10/fullpdf

Reference22 articles.

1. AlSumait L Barbará D Domeniconi C 2008 Online LDA: Adaptive topic model for mining text streams with application on topic detection and tracking Proceedings of the IEEE International Conference on Data Mining

2. AlSumait L Barbará D Domeniconi C 2009 The role of semantic history on online generative topic modeling Proceedings of the Workshop on Text Mining, held in conjunction with the SIAM International Conference on Data Mining

3. Andrzejewski D Zhu X Craven M 2009 Incorporating domain knowledge into topic modeling via Dirichlet forest priors Proceedings of the International Conference on Machine Learning

4. Latent Dirichlet allocation;Blei;Journal of Machine Learning Research,2003

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